Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2471–2480 of 6748 papers

Title	Date	Tasks	Status
DDPG based on multi-scale strokes for financial time series trading strategy	Jun 5, 2022	Deep Reinforcement LearningQ-Learning	—Unverified
A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition	Nov 5, 2020	Activity RecognitionTime Series	—Unverified
An Artificial Spiking Quantum Neuron	Jul 14, 2019	Time SeriesTime Series Analysis	—Unverified
DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data	Sep 16, 2022	Time SeriesTime Series Analysis	—Unverified
Day Level Forecasting for Coronavirus Disease (COVID-19) Spread: Analysis, Modeling and Recommendations	Mar 15, 2020	Time SeriesTime Series Analysis	—Unverified
Day-ahead time series forecasting: application to capacity planning	Nov 6, 2018	ClusteringTime Series	—Unverified
A transformer-based model for default prediction in mid-cap corporate markets	Nov 18, 2021	Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION	—Unverified
An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework	Dec 27, 2017	Stock Price PredictionTime Series	—Unverified
Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling	Jan 13, 2021	Feature Importancefeature selection	—Unverified
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation	Oct 19, 2020	Domain AdaptationTime Series	—Unverified

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All datasets PhysioNet Challenge 2012 Speech Commands Ventilator Pressure Prediction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	naive classifier	F1	87.47	—	Unverified
2	GRU-D - APC (n = 1)	F1	27.3	—	Unverified
3	GRU-APC (n = 1)	F1	25.7	—	Unverified
4	GRU-D	F1	22.5	—	Unverified
5	GRU	F1	22.3	—	Unverified
6	GRU-Simple	F1	22.2	—	Unverified
7	GRU-Mean	F1	22.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepTr	% Test Accuracy	98.51	—	Unverified
2	ViT	% Test Accuracy	98.11	—	Unverified
3	FlexTCN-4	% Test Accuracy	97.73	—	Unverified
4	MatchboxNet	% Test Accuracy	97.4	—	Unverified
5	CKCNN (100k)	% Test Accuracy	95.27	—	Unverified
6	FlexTCN-6	% Test Accuracy (Raw Data)	91.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResBiLSTM	MAE	0.13	—	Unverified